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15th European Radar Conference, EuRAD 2018

作者： Pisa, S. Piuzzi, E. Pittella, E. Lombardo, P. Genovese, A. Bloisi, D. Nardi, D. Dratanasio, P. Zambotti, A. Dept. of Information Engineering Electronics and Telecommunications DIET Rome Italy Telespazio A Leonardo and Thales Company Rome Italy Dept. of Computer Control And Management Engineering DIAG Rome Italy Casaccia Research Centre Rome Italy

ISBN: (纸本)9782874870538

The mono-static Radar Cross Section (RCS) of a commercial Drone (IRIS) has been simulated and measured. For simulations, the electromagnetic CAD Microwave Studio by CST has been used. This software allows to accurately model the drone geometry and material complex permittivity. Measurements have been performed in an anechoic chamber equipped with a network analyzer and a horn antenna. The foreseen applications are the localization of drones in critical scenarios by using both passive and conventional radars. Our measurements and simulations, with good agreement, show RCS values that are strongly variable with frequency. © 2018 European Microwave Association.

关键词： Drones

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A novel solution based on virtual and augmented reality for biomechanics study

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2018年第2期80卷 29-40页

作者： Voinea, Alexandra Moldoveanu, Florica School of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania Dept. of Computer Science University POLITEHNICA of Bucharest Romania

This paper contains the implementation details of a solution aimed to improve the learning process during the biomechanics study. The original aspect of the paper consists in the usage of Virtual and Augmented Reality to assess the quality of their benefits in the educational area. The Virtual Reality setup contains two scenarios due to the cybersickness that was encountered while testing and developing the application. The Augmented Reality version contains both markerless and marker-based approaches and we provide details about the challenges and drawbacks of each scenario. © 2018 Politechnica University of Bucharest. All rights reserved.

关键词： Augmented reality

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ICT based Smart Management Solution to Realize Water and Energy Savings through Energy Efficiency Measures in Water Distribution Systems 10

ICT based Smart Management Solution to Realize Water and Ene...

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10th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2018

作者： Grigoras, Gheorghe Bizon, Nicu Enescu, Florentina Magda Lopez Guede, Jose Manuel Salado, Guadalupe Flores Brennan, Raymond O'Driscoll, Connie Dinka, Megersa O. Alalm, Mohamed Gar Dept. of Power Engineering 'Gh. Asachi' Technical University of Iasi Iasi Romania Dept. of Electronics Computer and Electrical Engineering University of Pitesti Pitesti Romania Dept. of Systems and Automatic Engineering University of the Basque Country Vitoria-Gasteiz Spain Wellness Telecom Sevilla Spain Ryan Hanley Ltd Dublin Ireland Dept. of Civil Engineering Science University of Johanneburg Johanneburg South Africa Dept. of Public Works Mansoura University Mansoura Egypt

ISBN: (纸本)9781538649015

The water companies should provide services at the affordable tariffs for all people, irrespective of the water source, geographical area, size or complexity of water supply system. In order to contribute to the sustainability of water distribution infrastructure, tariffs should cover, in practice, at least the operating and maintenance costs. To obtain a lower water tariff, the water-energy nexus should be take into account. Thus, developing the innovative technological solutions which to allow new water pricing options and policy actions based on energy efficiency measures and Information and Communication Technologies (ICT) to implement the EU water policy represent a new research direction. The paper proposes an innovative solution represented by a software platform for a sustainable management of water supply systems which to include the advanced ICT solutions (Blockchain and Artificial Intelligence) and smart concepts (smart metering, demand response) with benefits both energy and water fields. The platform could lead to realize significant energy and savings through technical measures and a smart management, supplying the consumers with quality water at an affordable tariff considering the socio-economic factors. © 2018 IEEE.

关键词： Energy efficiency

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Monitoring human body motions during earthquakes 11

Monitoring human body motions during earthquakes

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11th National Conference on Earthquake engineering 2018: Integrating Science, engineering, and Policy, NCEE 2018

作者： Cimellaro, G.P. Domaneschi, M. Boroschek, R. Cardoni, A. Kammouh, O. Galdo, D. Apostoliti, C. Cares, D. Mahin, S. Dept. of Civil and Environmental Engineering University of California BerkeleyCA94720 United States Dept. of Civil Structural and Geotechnical Engineering Politecnico di Torino 10129 Italy Civil Engineering Department University of Chile Blanco Encalada Santiago2002 Chile Dept. of Control and Computer Engineering Politecnico di Torino 10129 Italy

ISBN: (纸本)9781510873254

This work aims at establishing laboratory requirements and testing conditions in order to understand the physical and emotional stability of people during a ground shaking. Several individuals with different human characteristics (gender, age, height, etc.) are considered in the test. Two different laboratory setups are presented. A position device (Kinect) and video targetless tracking algorithm has been used to collect the human body position during the shaking. A two and a three dimensional shaking tables are used to generate artificial earthquakes with different frequency bands. In addition, a well detailed virtual reality setting is applied to the testing site in order to illustrate the real environment. During the experiment, a special attention has been given to the factor of "surprise", which is necessary to ensure a natural reaction of the individuals. The result of the experiment proved common behaviors among the individual samples during the shaking. This work is considered a first step towards a large test campaign, which is necessary to obtain comprehensive statistics on this topic. Copyright © NCEE 2018: Integrating Science, engineering, and *** rights reserved.

关键词： Virtual reality

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Impact of Quantum Capacitance on Transmission Characteristics of Carbon Nanotubes Filled Shielded Through-Silicon Vias

Impact of Quantum Capacitance on Transmission Characteristic...

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2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Su, Jinrong Yao, Chunhui Chen, Xue Zhang, Wenmei Dept. Electric and Information Engineering Shanxi University Taiyuan Shanxi030006 China Command and Control Division North Automatic Control Technology Institute Taiyuan030006 China College of Physics and Electronics Shanxi University Taiyuan Shanxi030006 China

ISBN: (纸本)9781538612415

Shielded through-silicon vias (S-TSV) filled with multi-walled carbon nanotubes (MWCNT) in the via and the shielded layer, and benzocyclobutene or silicon in the insulation layer is presented in this paper. Then, the equivalent transmission line models of the two S-TSVs are established. Based on the model, the forward transmission coefficient and attenuation constant are calculated and the impact of quantum capacitance Cq of MWCNT on the transmission performance of S-TSVs is analyzed. The results indicate that the performance of S-TSVs with Si insulation layer in 0-100 GHz can be significantly improved by Cq. Also, the performance of S-TSV filled with BCB above 40 GHz can be improved. In addition, the temperature effect of silicon can be balanced by Cq. As a result, the heat stability of S-TSV with silicon insulation layer is improved. © 2018 IEEE.

关键词： Silicon

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Variational bayesian inference of hidden stochastic processes with unknown parameters

arXiv

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arXiv 2019年

作者： Atitey, Komlan Loskot, Pavel Mihaylova, Lyudmila Swansea University College of Engineering Fabian Way Skewen SwanseaSA1 8EN United Kingdom University of Sheffield Dept. of Automatic Control and Systems Engineering Mappin Street SheffieldS1 3JD United Kingdom

Estimating hidden processes from non-linear noisy observations is particularly difficult when the parameters of these processes are not known. This paper adopts a machine learning approach to devise variational Bayesian inference for such scenarios. In particular, a random process generated by the autoregressive moving average (ARMA) linear model is inferred from non-linearity noisy observations. The posterior distributions of hidden states are approximated by a set of weighted particles generated by the sequential Monte Carlo (SMC) algorithm involving sampling with importance samplingresampling (SISR). Numerical efficiency and estimation accuracy of the proposed inference method are evaluated by computer simulations. Furthermore, the proposed inference method is demonstrated on a practical problem of estimating the missing values in the gene expression time series assuming vector autoregressive (VAR) data model. Copyright © 2019, The Authors. All rights reserved.

关键词： Random processes

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Considerations regarding security issues impact on systems availability

arXiv

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arXiv 2018年

作者： Pricop, Emil Mihalache, Sanda Florentina Paraschiv, Nicolae Fattahi, Jaouhar Zamfir, Florin Automatic Control Computers and Electronics Department Petroleum-Gas University of Ploiesti Ploiesti Romania Dept. of Computer Science and Software Engineering Université Laval QC Canada Automatic Control Computers and Electronics Dept. Petroleum-Gas University of Ploiesti Ploiesti Romania

control systems behavior can be analyzed taking into account a large number of parameters: Performances, reliability, availability, security. Each control system presents various security vulnerabilities that affect in lower or higher measure its functioning. In this paper the authors present a method to assess the impact of security issues on the systems availability. A fuzzy model for estimating the availability of the system based on the security level and achieved availability coefficient (depending on MTBF and MTR) is developed and described. The results of the fuzzy inference system (FIS) are presented in the last section of the paper. Copyright © 2018, The Authors. All rights reserved.

关键词： Availability

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Learning requirements for stealth attacks

arXiv

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arXiv 2019年

作者： Sun, Ke Esnaola, Iñaki Tulino, Antonia M. Poor, H. Vincent Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Nokia Bell Labs HolmdelNJ07733 United States Dept. of Electrical Engineering Princeton University PrincetonNJ08544 United States University degli Studi di Napoli Federico II Naples80138 Italy

The learning data requirements are analyzed for the construction of stealth attacks in state estimation. In particular, the training data set is used to compute a sample covariance matrix that results in a random matrix with a Wishart distribution. The ergodic attack performance is defined as the average attack performance obtained by taking the expectation with respect to the distribution of the training data set. The impact of the training data size on the ergodic attack performance is characterized by proposing an upper bound for the performance. Simulations on the IEEE 30-Bus test system show that the proposed bound is tight in practical settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Information theory

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Dynamic estimation of visco-elastic mechanical characteristics of biological samples under micro manipulation 15

Dynamic estimation of visco-elastic mechanical characteristi...

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15th International Conference on Informatics in control, Automation and Robotics, ICINCO 2018

作者： Giamberardino, Paolo Di Aceto, Maria Laura Giannini, Oliviero Verotti, Matteo Dept. Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy University Niccol Cusano Via Don Carlo Gnocchi 3 Rome Italy

ISBN: (纸本)9789897583216

This paper focuses on the possibility of using a recently fabricated micro gripper for the on line estimation of the mechanical characteristics (damping and elasticity) of a sample pinched by the jaws, with particular reference to biological tissues. A classical on line dynamical parameter estimator is computed for the given system with different estimation computations, and its effectiveness has been verified by numerical simulations. Results confirm the feasibility of a micro-robotic clinical device for surgery use equipped with a tissue recognition ability. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Tissue

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A novel frequency domain maximum likelihood approach for estimating transport coefficients in cylindrical geometry for nuclear fusion devices

A novel frequency domain maximum likelihood approach for est...

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IEEE Annual Conference on Decision and control

作者： Matthijs van Berkel Gerardus W. Oosterwegel Martijn Anthonissen Hans J. Zwart Gerd Vandersteen DIFFER-Dutch Institute for Fundamental Energy Research Energy Systems and Control group Eindhoven The Netherlands Dept. of Mathematics and Computer Science Eindhoven University of Technology Eindhoven The Netherlands Dept. of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Dept. of Fundamental Electricity and Instrumentation Vrije Universiteit Brussel (VUB) Brussels Belgium

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

This paper introduces a novel maximum likelihood approach to determine the local thermal transport coefficients belonging to diffusion and convection from excitation (perturbative) transport experiments. It extends previous work developed for linear (slab) geometry to cylindrical (toroidal) geometry for fusion reactors. The previous linear geometry approach is based on analytic solutions of the partial differential equation. However, for cylindrical geometries with convection the analytic solutions are confluent hypergeometric functions (CHFs) with complex valued arguments. Most numerical libraries do not support CHFs evaluation with complex valued arguments. Hence, this paper proposes the use of an ultra-fast transfer function evaluation based on sparse numerical solutions for the discretized partial differential equation. This solution is implemented in MATLAB and incorporated in the frequency domain Maximum Likelihood Estimation framework. Consequently, transport coefficients can be estimated consistently when measurements are perturbed by coloured and spatially correlated noise.

关键词： Fusion reactors Geometry Maximum likelihood estimation Temperature sensors Partial differential equations Frequency-domain analysis

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